Article

Semiparametric Kernel-Based Regression for Evaluating Interaction Between Pathway Effect and Covariate

2018-03-01

Abstract excerpt

Pathway-based analysis has the ability to detect subtle changes in response variables that could be missed when using gene-based analysis. Since genes interact with other covariates such as environmental or clinical variables, so do pathways, which are sets of genes that serve particular cellular or physiological functions. However, since pathways are sets of genes and since environmental or clinical variables do...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 986f70b4-2403-53d9-9fac-7ed4dcdfb955
DOI: 10.1007/s13253-017-0317-2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Semiparametric Kernel-Based Regression for Evaluating Interaction Between Pathway Effect and CovariateDOI 10.1007/s13253-017-0317-2Read

Genome-wide pathway-based quantitative multiple phenotypes analysis.Semantic proximity Read

Kernel-based hierarchical structural component models for pathway analysis.Semantic proximity Read

Bayesian Semiparametric Model for Pathway-Based Analysis with Zero-Inflated Clinical OutcomesSemantic proximity Read

PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypesSemantic proximity Read

TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes.Semantic proximity Read

Kernel-based hierarchical structural component models for pathway analysis on survival phenotype.Semantic proximity Read

Two novel pathway analysis methods based on a hierarchical model.Semantic proximity Read

Kernel-machine testing coupled with a rank-truncation method for genetic pathway analysis.Semantic proximity Read

PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes.Semantic proximity Read

Use of pathway information in molecular epidemiology.Semantic proximity Read

Pathway-based analysis for genome-wide association studies using supervised principal components.Semantic proximity Read

Powerful Genetic Association Analysis for Common or Rare Variants with High-Dimensional Structured Traits.Semantic proximity Read